Instructions to use mhnakif/comfy2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mhnakif/comfy2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mhnakif/comfy2", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| set -euo pipefail | |
| if [ "$#" -lt 2 ]; then | |
| echo "Usage: $0 <target> <url> [url...]" | |
| echo "Targets: l|lora -> models/loras, u|unet -> models/unet," | |
| echo " c|clip -> models/clip, v|vae -> models/vae" | |
| exit 1 | |
| fi | |
| target="$1" | |
| shift | |
| case "$target" in | |
| l|lora) | |
| dest_dir="./models/loras" | |
| ;; | |
| u|unet) | |
| dest_dir="./models/unet" | |
| ;; | |
| c|clip) | |
| dest_dir="./models/clip" | |
| ;; | |
| v|vae) | |
| dest_dir="./models/vae" | |
| ;; | |
| *) | |
| echo "Unknown target: $target" | |
| echo "Targets: l|lora, u|unet, c|clip, v|vae" | |
| exit 1 | |
| ;; | |
| esac | |
| mkdir -p "$dest_dir" | |
| for url in "$@"; do | |
| file_name="$(basename "${url%%\?*}")" | |
| aria2c -x16 -o "$file_name" -d "$dest_dir" "$url" | |
| done | |